154 search results - page 9 / 31 » Feature Extraction for Outlier Detection in High-Dimensional... |
PAMI
2000
13 years 7 months ago
2000
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
SSDBM
2006
IEEE
14 years 1 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
PAMI
1998
13 years 7 months ago
1998
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
NIPS
1997
13 years 8 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...